Publications by Stefania Giacomello
Peer reviewed
Articles
[1]
Y. Masarapu et al., "Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice," Nature Communications, vol. 15, no. 1, 2024.
[2]
V. Grujčić et al., "Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton," PLOS ONE, vol. 19, no. 1 January, 2024.
[3]
H. Sounart et al., "Dual spatially resolved transcriptomics for human host–pathogen colocalization studies in FFPE tissue sections," Genome Biology, vol. 24, no. 1, 2023.
[4]
A. Manzano et al., "Enhancing European capabilities for application of multi-omics studies in biology and biomedicine space research," iScience, vol. 26, no. 9, 2023.
[5]
C. Sylven et al., "High cardiomyocyte diversity in human early prenatal heart development," ISCIENCE, vol. 26, no. 1, pp. 105857, 2023.
[6]
H. Sounart et al., "Miniature spatial transcriptomics for studying parasite-endosymbiont relationships at the micro scale," Nature Communications, vol. 14, no. 1, 2023.
[7]
S. Saarenpää et al., "Spatial metatranscriptomics resolves host–bacteria–fungi interactomes," Nature Biotechnology, 2023.
[8]
R. Herranz et al., "Building the Space Omics Topical Team to boost European space researchers' role in the international consortia redefining spaceflight-generated datasets," ISCIENCE, vol. 25, no. 9, 2022.
[9]
E. G. Overbey et al., "Challenges and considerations for single-cell and spatially resolved transcriptomics sample collection during spaceflight," CELL REPORTS METHODS, vol. 2, no. 11, 2022.
[10]
L. Stenbeck, F. Taborsak-Lines and S. Giacomello, "Enabling automated and reproducible spatially resolved transcriptomics at scale," Heliyon, vol. 8, no. 6, pp. e09651, 2022.
[11]
H. Cope et al., "Routine omics collection is a golden opportunity for European human research in space and analog environments," PATTERNS, vol. 3, no. 10, pp. 100550, 2022.
[12]
C. S. Deane et al., "Space omics research in Europe : Contributions, geographical distribution and ESA member state funding schemes," iScience, vol. 25, no. 3, pp. 103920, 2022.
[13]
S. Niu et al., "p The Chinese pine genome and methylome unveil key features of conifer evolution," Cell, vol. 185, no. 1, pp. 204-+, 2022.
[14]
S. Giacomello, "A new era for plant science : spatial single-cell transcriptomics," Current opinion in plant biology, vol. 60, 2021.
[15]
W. Chang et al., "Purkinje cells located in the adult zebrafish valvula cerebelli exhibit variable functional responses," Scientific Reports, vol. 11, no. 1, 2021.
[16]
S. G. Jha et al., "Vision, challenges and opportunities for a Plant Cell Atlas," eLIFE, vol. 10, 2021.
[17]
L. Rutter et al., "A New Era for Space Life Science : International Standards for Space Omics Processing," PATTERNS, vol. 1, no. 9, pp. 100148, 2020.
[18]
E. Berglund et al., "Automation of Spatial Transcriptomics library preparation to enable rapid and robust insights into spatial organization of tissues," BMC Genomics, vol. 21, no. 1, 2020.
[19]
W. Chang et al., "Functionally distinct Purkinje cell types show temporal precision in encoding locomotion," Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 29, pp. 17330-17337, 2020.
[20]
A. Klimovich et al., "Prototypical pacemaker neurons interact with the resident microbiota," Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 30, pp. 17854-17863, 2020.
[21]
P. Madrigal et al., "Revamping Space-omics in Europe," CELL SYSTEMS, vol. 11, no. 6, pp. 555-556, 2020.
[22]
M. Asp et al., "A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart," Cell, vol. 179, no. 7, pp. 1647-+, 2019.
[23]
S. Giacomello et al., "High spatial resolution profiling in tree species," Annual Plant Reviews Online, vol. 2, no. 1, pp. 329-359, 2019.
[24]
S. Giacomello and J. Lundeberg, "Preparation of plant tissue to enable Spatial Transcriptomics profiling using barcoded microarrays," Nature Protocols, vol. 13, no. 11, pp. 2425-2446, 2018.
[25]
R. M. Cossu et al., "LTR Retrotransposons Show Low Levels of Unequal Recombination and High Rates of Intraelement Gene Conversion in Large Plant Genomes," Genome Biology and Evolution, vol. 9, no. 12, pp. 3449-3462, 2017.
[26]
S. Giacomello et al., "Spatially resolved transcriptome profiling in model plant species," Nature Plants, vol. 3, 2017.
[27]
C. Bersani et al., "Genome-wide identification of Wig-1 mRNA targets by RIP-Seq analysis," Oncotarget, vol. 7, no. 2, pp. 1895-1911, 2016.
[28]
M. E. Lindholm et al., "The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts," PLOS Genetics, vol. 12, no. 9, 2016.
[29]
P. Ståhl et al., "Visualization and analysis of gene expression in tissue sections by spatial transcriptomics," Science, vol. 353, no. 6294, pp. 78-82, 2016.
Non-peer reviewed
Articles
[30]
S. Giacomello et al., "New insights into the human heart development using a combined spatial and single-cell transcriptomics approach," Human Genomics, vol. 12, 2018.
[31]
M. Lindholm et al., "Endurance Training Alters Expression of Over 3000 Isoforms and 34 Novel Transcripts in Human Skeletal Muscle," The FASEB Journal, vol. 30, 2016.
Other
[32]
[33]
L. Stenbeck, F. Taborsak-Lines and S. Giacomello, "Enabling automated and reproducible spatially resolved transcriptomics at scale," (Manuscript).
[34]
M. E. Lindholm et al., "Long-‐term endurance training induces global isoform changes in human skeletal muscle," (Manuscript).
Latest sync with DiVA:
2024-07-17 11:46:40